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docker系列-06.docker搭建ELK,集成filebeat客户端配置使用(二)

2017-12-18 11:52 1146 查看
接上一篇docker系列-06.docker搭建ELK(一)

本篇将就filebeat远程将日志文件中的内容远程写入elk服务器中的logstash配置和使用做详细说明。

1.在客户端中搭建filebeat

filebeat将会将客户端中的日志文件远程写入elk服务器中的logstash中,

Elasticsearch处理完这些日志后,提供给kibana搜索。如果有多台客户端的日志需要写入到elk的logstash中,每台客户端都需要安装filebeat

本人选择docker的搭建方式。

首先搜索filebeat的docker镜像:

[root@localhost logs]# docker search filebeat
NAME                           DESCRIPTION                                     STARS     OFFICIAL   AUTOMATED
prima/filebeat                 Filebeat docker image                           46                   [OK]
bargenson/filebeat             A docker image using the Docker API to col...   8                    [OK]
olinicola/filebeat             Docker image for Elastic Filebeat               6
willfarrell/filebeat           ElasticStack / Beats / Filebeat                 4                    [OK]
nguoianphu/docker-filebeat     Docker Filebeat image                           4                    [OK]
zot24/filebeat                 Alpine Docker Image for Filebeat                2                    [OK]
prameswar/filebeat             filebeat installation                           1                    [OK]
ninech/openshift-filebeat      Filebeat image that runs on Openshift.          1                    [OK]
apsops/filebeat-kubernetes     Filebeat container, alternative to fluentd...   1                    [OK]
portbase/elk-filebeat          elk-filebeat                                    1
ibmcom/filebeat                Docker Image for IBM Cloud private-CE (Com...   0
watsco/filebeat                filebeat                                        0                    [OK]
pdffiller/filebeat-consul      filebeat client configured with consul          0
bmcbm/docker-filebeat          Ubuntu Xeinal based image running Elastico...   0                    [OK]
devopsil/filebeat-kubernetes   filebeat-kubernetes Docker image                0                    [OK]
ackstorm/relk-filebeat                                                         0
dsop/alpine-filebeat           a filebeat image                                0                    [OK]
komljen/filebeat               Filebeat docker image for Kubernetes.           0                    [OK]
mewm/alpine-filebeat           Filebeat 1.2.3 based on Alpine linux            0                    [OK]
anchorfree/filebeat                                                            0
sensnet/filebeat               filebeat                                        0                    [OK]
mspanakis/docker-filebeat      Docker container for filebeat                   0                    [OK]
microservicestoday/filebeat                                                    0
bdclark/nomad-filebeat         Filebeat log shipper for a Nomad task group.    0                    [OK]
djenriquez/filebeat            Dockerized Filebeat                             0                    [OK]


这里选择的是prima/filebeat镜像

2.创建filebeat配置文件,filebeat.yml,放入到/home/filebeat/文件夹中,filebeat.yml配置文件如下:

###################### Filebeat Configuration Example #########################

# This file is an example configuration file highlighting only the most common
# options. The filebeat.reference.yml file from the same directory contains all the
# supported options with more comments. You can use it as a reference.
#
# You can find the full configuration reference here:
# https://www.elastic.co/guide/en/beats/filebeat/index.html 
# For more available modules and options, please see the filebeat.reference.yml sample
# configuration file.

#=========================== Filebeat prospectors =============================

filebeat.prospectors:

# Each - is a prospector. Most options can be set at the prospector level, so
# you can use different prospectors for various configurations.
# Below are the prospector specific configurations.

- type: log

# Change to true to enable this prospector configuration.
enabled: true

# Paths that should be crawled and fetched. Glob based paths.
#配置filebeat要读取的log文件路径,有多个的话可以使用通配符或者多个paths节点配置
paths:
- /home/logs/*_all.log
#- c:\programdata\elasticsearch\logs\*

# Exclude lines. A list of regular expressions to match. It drops the lines that are
# matching any regular expression from the list.
#exclude_lines: ['^DBG']

# Include lines. A list of regular expressions to match. It exports the lines that are
# matching any regular expression from the list.
#include_lines: ['^ERR', '^WARN']

# Exclude files. A list of regular expressions to match. Filebeat drops the files that
# are matching any regular expression from the list. By default, no files are dropped.
#exclude_files: ['.gz$']

# Optional additional fields. These fields can be freely picked
# to add additional information to the crawled log files for filtering
#fields:
#  level: debug
#  review: 1

### Multiline options

# Mutiline can be used for log messages spanning multiple lines. This is common
# for Java Stack Traces or C-Line Continuation

# The regexp Pattern that has to be matched. The example pattern matches all lines starting with [
#multiline.pattern: ^\[

# Defines if the pattern set under pattern should be negated or not. Default is false.
#multiline.negate: false

# Match can be set to "after" or "before". It is used to define if lines should be append to a pattern
# that was (not) matched before or after or as long as a pattern is not matched based on negate.
# Note: After is the equivalent to previous and before is the equivalent to to next in Logstash
#multiline.match: after

#============================= Filebeat modules ===============================
#modules也没有使用到,暂时不知道怎么使用,本人也注释掉了
#filebeat.config.modules:
# Glob pattern for configuration loading
# path: ${path.config}/modules.d/*.yml

# Set to true to enable config reloading
# reload.enabled: false

# Period on which files under path should be checked for changes
#reload.period: 10s

#==================== Elasticsearch template setting ==========================

#setup.template.settings:
# index.number_of_shards: 3
#index.codec: best_compression
#_source.enabled: false

#================================ General =====================================

# The name of the shipper that publishes the network data. It can be used to group
# all the transactions sent by a single shipper in the web interface.
#name:

# The tags of the shipper are included in their own field with each
# transaction published.
#tags: ["service-X", "web-tier"]

# Optional fields that you can specify to add additional information to the
# output.
#fields:
#  env: staging

#============================== Dashboards =====================================
# These settings control loading the sample dashboards to the Kibana index. Loading
# the dashboards is disabled by default and can be enabled either by setting the
# options here, or by using the `-setup` CLI flag or the `setup` command.
#setup.dashboards.enabled: false

# The URL from where to download the dashboards archive. By default this URL
# has a value which is computed based on the Beat name and version. For released
# versions, this URL points to the dashboard archive on the artifacts.elastic.co
# website.
#setup.dashboards.url:

#============================== Kibana =====================================

# Starting with Beats version 6.0.0, the dashboards are loaded via the Kibana API.
# This requires a Kibana endpoint configuration.
setup.kibana:

# Kibana Host
# Scheme and port can be left out and will be set to the default (http and 5601)
# In case you specify and additional path, the scheme is required: http://localhost:5601/path # IPv6 addresses should always be defined as: https://[2001:db8::1]:5601 #host: "localhost:5601"

#============================= Elastic Cloud ==================================

# These settings simplify using filebeat with the Elastic Cloud (https://cloud.elastic.co/).

# The cloud.id setting overwrites the `output.elasticsearch.hosts` and
# `setup.kibana.host` options.
# You can find the `cloud.id` in the Elastic Cloud web UI.
#cloud.id:

# The cloud.auth setting overwrites the `output.elasticsearch.username` and
# `output.elasticsearch.password` settings. The format is `<user>:<pass>`.
#cloud.auth:

#================================ Outputs =====================================

# Configure what output to use when sending the data collected by the beat.

#-------------------------- Elasticsearch output ------------------------------
#本人没有使用elasticseach,注释掉了
#output.elasticsearch:
# Array of hosts to connect to.
# hosts: ["192.168.1.33:9200"]

# Optional protocol and basic auth credentials.
#protocol: "https"
#username: "elastic"
#password: "changeme"

#----------------------------- Logstash output --------------------------------
output.logstash:
# The Logstash hosts,elk服务器logstash开放的地址和端口,嫌使用ssl的方式太麻烦,内网使用,所以ssl的相关配置也注释掉了
hosts: ["192.168.1.33:5044"]
logging.metrics.enabled: false
# Optional SSL. By default is off.
# List of root certificates for HTTPS server verifications
#ssl.certificate_authorities: ["/etc/pki/root/ca.pem"]

# Certif
bbe0
icate for SSL client authentication
#ssl.certificate: "/etc/pki/client/cert.pem"

# Client Certificate Key
#ssl.key: "/etc/pki/client/cert.key"

#================================ Logging =====================================

# Sets log level. The default log level is info.
# Available log levels are: critical, error, warning, info, debug
#logging.level: debug

# At debug level, you can selectively enable logging only for some components.
# To enable all selectors use ["*"]. Examples of other selectors are "beat",
# "publish", "service".
#logging.selectors: ["*"]


3.因为没使用到上述的modules,为了使filebeat启动的时候不报错,在home文件夹下创建一个modules的空目录

至此,filebeat客户端的安装准备工作完毕。

4.切换到elk服务器,配置logstash端口接收部分:

1)执行以下命令,进入到elk容器内部

docker exec -it elk(本人elk的docker容器名字) /bin/bash


2)修改logstash的input配置文件(也可以通过使用苏追究文件映射的方式来处理)

root@b15eb2b7fdbb:cd /etc/logstash/conf.d
root@b15eb2b7fdbb:cd vi 02-beats-input.conf


将文件内容修改成以下内容即可:

client_inactivity_timeout为客户端连接超时时间,默认是5秒貌似。

input {
beats {
port => 5044
client_inactivity_timeout => 36000
}
}


5.重启elk

docker restart elk


6.切换到filebeat客户端机器,运行以下命令,启动filebeat docker容器

docker run --name filebeat -v /home/filebeat/filebeat.yml:/filebeat.yml -v /home/logs/:/home/logs/ -v /home/filebeat/module:/module --net=host  prima/filebeat


如果看到以下日志,则说明已经往elk里面发送日志信息了:



7.打开kibana,创建filebeat-*索引,





我这里已经创建好了,就不再创建了。

8.进入kibana搜索页面,查看效果:



至此,整个elk的搭建和客户端filebeat的搭建使用介绍完毕。
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